Bioinformatics: Guide to RNA-seq with No Coding Required!

Learn to process & analyse RNA-seq data without code: Transcriptomics, Differential expression, STAR, Pathway analysis
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Bioinformatics: Guide to RNA-seq with No Coding Required!
1 256
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3 hours
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Nov 2022
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Why take this course?

🧬 Course Title: Bioinformatics: Guide to RNA-seq with No Coding Required!


Course Headline:

Unlock the Secrets of Genetic Research Without Writing a Line of Code! 🚀


Course Description:

Are you fascinated by the power of science to reveal the mysteries of genetic diseases and uncover new markers for conditions like cancer? Have you ever marveled at the complexity of a cell's transcriptome and its role in cellular growth and development? If your answer is a resounding "yes," then our latest online course is tailored just for you! 🌱

In the world of bioinformatics, RNA sequencing (RNA-seq) stands out as a revolutionary tool for understanding gene expression. This course, led by the esteemed instructor Adrian Bourke, will guide you through the intricacies of RNA-seq without the need for coding expertise or complex software installations. We're leveraging the user-friendly Galaxy platform and the robust STAR pipeline to make this cutting-edge technology accessible to everyone, including beginners!

What You'll Learn:

  • 🔍 Download Public Data: Access and utilize raw files from scientific papers on platforms like Galaxy.
  • 🎯 Genome Alignment: Perform alignment of reads to a reference genome using the STAR tool, an essential step in RNA-seq analysis.
  • 📊 Generate Count Tables: Use FeatureCounts to turn your alignments into count tables that are crucial for identifying which genes are active.
  • 📈 Differential Expression Analysis: Discover the differences between two or more samples with DESeq2, revealing which genes change in expression under different conditions.
  • 🧬 Gene Ontology & Pathway Analysis: Understand the biological significance behind gene expression changes by analyzing their roles in pathways using various tools.
  • 🎨 Pathview Interpretation: Visualize and interpret data on KEGG pathways, which are pivotal for understanding complex biological processes.
  • 📋 Alternative Differential Expression Analysis with DEGUST: Learn a web-based alternative to DESeq2 that simplifies the process of differential expression analysis.

Course Format:

This course is designed to be highly practical, combining a brief introductory lecture on the basics of sequencing and RNA-seq applications with a hands-on approach throughout 14 lectures. You'll dive straight into the action, learning by doing as you navigate through the process from data acquisition to interpretation. 💻

Expect to encounter real-world challenges along the way, such as working within Galaxy's limitations and finding creative solutions to overcome them. This course is not just about following a predefined path; it's about learning to think like a bioinformatician!

Who Is This Course For?

This course is an ideal starting point for:

  • 👩‍🏫 Students & Researchers: Who are new to RNA-seq and wish to gain practical experience.
  • 🤝 Biologists: Looking to expand their skill set into bioinformatics.
  • 🚀 Professionals in the Healthcare Sector: Eager to understand the underpinnings of genetic research.
  • 🌟 Curious Minds: Fascinated by genetics and eager to learn about the latest technologies in this field.

Join us on this journey to explore the vast landscape of RNA-seq bioinformatics, and empower yourself with knowledge that is driving scientific discovery in genomics, molecular biology, and medicine! 🌟


Enroll Now and Start Your Bioinformatics Journey with No Coding Skills Required! 🎓🚀

Course Gallery

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udemy ID
18/06/2020
course created date
03/11/2020
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